Fishery

At a glance

• Editor score
  6.4 / 10
• Pricing
  Free plan
• Best for
  Typed JavaScript object factories
• Free plan
  Yes
• Paid from
  Free
• Facts checked
  20 Sep 2026

• Where it wins

  • Typed factories support JavaScript and TypeScript objects
  • Overrides, lists, sequences, and associations support varied test data
  • Lifecycle hooks and reusable builders extend factory workflows

• Where it doesn't

  • Focused on JavaScript and TypeScript object factories
  • Requires a code-based development workflow
  • Not a hosted test-data-generation platform

Our verdict on Fishery

Fishery is an open-source JavaScript and TypeScript library for creating reusable object factories. Developers define typed factories with default attributes, then generate test objects with parameter overrides, lists, sequences, associations, and transient parameters. It is intended for application developers who want repeatable, type-aware data setup inside a codebase, rather than a hosted service for generating test data across multiple environments.

Its standout strength is the factory model. A factory can provide default attributes while allowing individual overrides, and buildList can generate collections of objects. Incrementing sequences help produce distinct values, while associations connect generated objects across factories. Transient parameters stay out of the resulting objects, which supports setup-only inputs. After-build hooks, asynchronous create callbacks through onCreate, and after-create hooks cover workflows where object construction needs additional behavior. Factory extension methods and reusable builders add another layer for sharing patterns across tests.

Fishery is a narrow fit by design. It works well when a JavaScript or TypeScript team wants typed object factories embedded in its development workflow, including relational-style associations and reusable setup logic. Its open-source model and npm development-dependency distribution make it suitable for teams comfortable managing test-data generation in code. Teams seeking a hosted test-data platform, broader format generation, database connectors, deployment options, or generation quotas should choose a product designed around those needs instead. Fishery is the clearer choice when typed application objects and factory composition matter more than platform breadth.

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Fishery pricing

Fishery fact sheet

Alternatives to Fishery

• MOSTLY AIA broad synthetic-data platform for enterprise relational data teams.9.4
• SynthesizedA database-focused platform for schema-faithful synthetic data and protected test environments.9.2
• Tonic FabricateA flexible choice for AI-assisted relational test data with API and export workflows.9.0

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Featured on iTechGuides

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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

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Last updated 7 Oct 2026 · How we research and update